Jargon, a startup launched about a year ago, offers a novel Chrome extension for language learning, available here: https://chromewebstore.google.com/detail/jargon/gghkanaadhldgmknmgggdgfaonhpppoj. This extension enriches the user’s browsing experience by highlighting English text on websites and generating language practice questions from these excerpts, promoting active user engagement. While it focuses on English and does not support foreign languages like Spanish or Chinese, it includes specialized features for learning GRE vocabulary and “TikTalk” slang, which converts English sentences into different styles. This tool targets students looking to enhance their language proficiency through regular practice.
Despite its innovative approach, Jargon has faced challenges in user adoption, with just over 90 downloads in the Chrome extension store after nearly a year. This dashboard provides an analysis of user engagement with Jargon, based on data from 92 users, and explores different facets of their interaction with the platform.
This dashboard uses several specific terms to describe user engagement metrics:
Summary: The table above shows key statistics for user engagement metrics. There is notable variation in user engagement, with some users being highly active (maximum of 647 generated questions) while others show minimal interaction (minimum of 0 across metrics). The median values suggest that typical user engagement is relatively modest.
Figure 1 Description: This visualization shows the distribution of four key engagement metrics through box plots. Each plot reveals a right-skewed distribution, indicating that while most users show low engagement levels, there are some highly active users (shown as outlier points) who significantly exceed typical usage patterns. The Generated Questions and Answered Questions metrics show particularly notable outliers, suggesting a small group of power users.